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dropouts by new customers costs, on average, 40% more. Aiming to mitigate the churn (customer evasion) phenomenon, this study … of the data and the developments of predictive models of churn were performed using the Orange data mining software. The …
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Greenwashing is the misleading use of environmental claims to market non-eco-friendly products, a growing concern as environmentally conscious consumers seek eco-friendly options. This study aims to identify factors that allow the detection of "greenwashing" practices in Colombian companies...
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Fraudsters are now more active in their attacks on credit card transactions than ever before. With the advancement in data science and machine learning, various algorithms have been developed to determine whether a transaction is fraudulent. We study the performance of three different machine...
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Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...
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This study presents a class-based approach developed to evaluate the financial performance of companies that have undergone public listing on the stock market. By employing both statistical analysis and machine learning methods, the models consider two important determinants, which are the...
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